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// Turn on the bulb public void on () throws BulbBrokenException { // Check to see if bulb already on if (bulbOn) return; // Check to see if bulb broken if (!bulbOk) throw new BulbBrokenException(); // Check to see if bulb will break Random r = new Random(); // Make it a one in four chance, since it is an // old bulb and we want to test the throwing of // an exception int chance = rnextInt() % 4; if ( chance == 0) { bulbOk = false; bulbOn = false; throw new BulbBrokenException(); } else { bulbOn = true; } } // Turn off the bulb public void off () { bulbOn = false; } // Is the bulb on and working public boolean isOn () throws BulbBrokenException {

Flexibility Flexibility in the design will allow it to be adapted to different implementation requirements For example, it is usually not a good idea to narrow the options to a single computer system or style of programming at this stage of the design Efficiency A parallel program is only useful if it scales efficiently with the size of the parallel computer (in terms of reduced runtime and/or memory utilization) For a task decomposition, this means we need enough tasks to keep all the PEs busy, with enough work per task to compensate for overhead incurred to manage dependencies However, the drive for efficiency can lead to complex decompositions that lack flexibility Simplicity The task decomposition needs to be complex enough to get the job done, but simple enough to let the program be debugged and maintained with reasonable effort

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// Check to see if broken if ( !bulbOk ) throw new BulbBrokenException(); // Return bulb state return bulbOn; } public static void main(String args[]) { Systemoutprintln ("Loading ORB"); try { // Create the ORB ORB orb = ORBinit(args, null); // Create a new light bulb servant LightBulbServant servant = new LightBulbServant(); // and connect it to our orb orbconnect(servant); // Object Request Broker ready Systemoutprintln ("Light bulb service loaded"); // Next step : export the orb to our name service // Get a name service reference orgomgCORBAObject object = orbresolve_initial_references("NameService"); // Narrow to a NamingContext object NamingContext namingContext = NamingContextHelpernarrow(object); // Creating a naming component for our servant NameComponent component = new NameComponent ("LightBulb", ""); // NamingContext requires an array, not a single // NameComponent NameComponent componentList[] = { component } ; // Now notify naming service of our new interface namingContextrebind(componentList, servant); Systemoutprintln ("Servant registered"); // Wait indefinitely for clients to use the // servant for (;;) { Threadsleep(1000); } } catch (Exception e) { Systemerrprintln ("Error - " + e); } }

number based on some combination of request parameters, response data, and existing stored dataThe important thing to understand is that the value is the result of a computation and not a measurement It is not a record of actual CPU time; it is an estimate, which allows consistency from one request to another and uniformity across a heterogeneous network of machinesAs a result, you are insulated from the variability in charges that might otherwise arise based solely on which machines happened to service your requests Request Identifier The other universal response element is RequestID RequestID is a unique identifier attached to each response, which AWS logs It provides a mechanism for you to communicate with AWS support regarding issues with specific requests For applications where this type of support is important, it is best to implement a mechanism to log the RequestID, timestamp, error code, and error message for errors With these common elements covered, let s move on to the actual SimpleDB operations

How LightBulbServant Works As you can see from the source code, we've implemented the on(), off(), and isOn() methods of the remote interface The code for these is fairly simple, and consists of modifying boolean flags that control whether the light is on, off, or broken As such, they are not networking or CORBA specific What is important to understand from this example is how to export a CORBA servant and list it in the CORBA naming service You could, if you wanted a clean separation between application and network code, create a separate class to handle the CORBA-specific code However, it is often easier to combine the two, by adding a main(String[]) method to your servant, to allow it to be run as a stand-alone application The first step is to obtain a reference to the object request broker and register the servant with it You don't create an ORB, as there is only one ORB per JVM instance Instead, you obtain a reference to it by calling the ORBinit() method Then, we connect the servant to the ORB

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